114 citations · 155 across the 2 of their papers we have counts for
3 papers
astro-ph.GA2020
New high-quality strong lens candidates with deep learning in the Kilo Degree Survey
R. Li, N. R. Napolitano, C. Tortora +11
We report new high-quality galaxy scale strong lens candidates found in the Kilo Degree Survey data release 4 using Machine Learning. We have developed a new Convolutional Neural N…
astro-ph.GA2019★ 114 cited
LinKS: Discovering galaxy-scale strong lenses in the Kilo-Degree Survey using Convolutional Neural Networks
C. E. Petrillo, C. Tortora, G. Vernardos +17
We present a new sample of galaxy-scale strong gravitational-lens candidates, selected from 904 square degrees of Data Release 4 of the Kilo-Degree Survey (KiDS), i.e., the "Lenses…
astro-ph.CO2017★ 41 cited
The inner mass power spectrum of galaxies using strong gravitational lensing: beyond linear approximation
Saikat Chatterjee, Léon V. E. Koopmans
In the last decade the detection of individual massive dark matter sub-halos has been possible using potential correction formalism in strong gravitational lens imaging. Here we pr…